AI Engineer
Role details
Job location
Tech stack
Job description
- Core AI Solution Design: Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications.
- LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments.
- Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that can reason, plan, and execute tasks across multiple tools.
- Production Engineering: Work collaboratively with Data Engineers to ensure model deployments are supported by robust data storage, vector databases, and cloud infrastructure.
- AI-Assisted Development (AICA): Act as a practitioner and mentor for AI-assisted coding. You will champion the use of tools (e.g., Claude Code, Cursor, Copilot) and help upskill internal teams and clients on agentic coding workflows.
- Advisory & Strategy: Provide technical consulting on AI product development, helping clients understand the distinction between standard ML and agentic AI.
- Continuous Learning: Stay updated with the latest trends in the AI engineering field, such as the modern AI stack, synthetic data generation, and Explainable AI.
Requirements
Do you have a Master's degree?, You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you're comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values., * Engineering Foundations: Strong proficiency in Python and robust software engineering principles, with experience operating as part of engineering teams.
- Generative AI & RAG: Proven experience working with LLMs and designing Retrieval-Augmented Generation (RAG) architectures, including knowledge of semantic search and vector retrieval.
- AICA Proficiency: Experience using AI-assisted and agentic coding tools to accelerate development, with the ability to articulate and teach these methods to others.
- Consulting Aptitude: Passionate, motivated, and enthusiastic about developing technology solutions with the ability to explain complex AI concepts to non-technical stakeholders.
Bonus Skills/Experience:
- Agentic Systems: Experience designing and orchestrating autonomous agentic workflows (e.g., LangGraph) and managing agent state/memory.
- Cloud: Experience working with cloud infrastructure (Azure, AWS, or GCP).
- Agile Delivery: Experience working in an Agile development environment.
- Data Engineering: Proficiency in SQL and relational databases (e.g., PostgreSQL, DuckDB). Experience with the modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI).
- Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs.
- Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch).
Benefits & conditions
Package and Benefits:
- Competitive Salary
- Bonus Scheme
- Private Healthcare Insurance
- 25 Days Annual Leave + Bank Holidays
- Up to 10 days allocated for development training per year
- Enhanced Parental Leave
- Paid Fertility Leave (5 Days)
- Statutory & Contributory Pension
- EAP with Help@Hand
- Gym Membership Benefits
- Flexible Working
- Annual Away Days/Company Socials